Meeting Banner
Abstract #4268

High-dimensional and accurate dictionary fitting with B-spline interpolation and gradient-based optimization

Willem van Valenberg1,2, Stefan Klein2, Frans M. Vos1,3, Lucas J. van Vliet1, and Dirk H.J. Poot1,2

1Quantitative Imaging Group, Delft University of Technology, Delft, Netherlands, 2Biomedical Imaging Group, Erasmus Medical Center, Rotterdam, Netherlands, 3Department of Radiology, Academic Medical Center, Amsterdam, Netherlands

Dictionary matching in MR fingerprinting acquisitions quantifying many parameters, such as T1 T2, T2’, B0, B1+, and PD, becomes prohibitively expensive due to the dense grid in each dimension of the dictionary that is required. In this work we propose B-spline interpolation of the dictionary to reduce the dictionary size and to enable efficient nonlinear least-squares fitting by gradient-based optimization methods. The experiments show that the method substantially reduces fitting error, especially when the SNR is high and dictionary resolution is the limiting factor for improving the precision of the quantitative parameters.

This abstract and the presentation materials are available to members only; a login is required.

Join Here